
Senior Data Architect Role
2 days ago
We are seeking a Lead Data Architect to oversee the design and implementation of scalable data pipelines on AWS. This role is critical in driving business growth through data-driven decision-making.
- Key Responsibilities:
- Design and Implement Scalable Data Pipelines
Develop and maintain high-quality, scalable data pipelines using Apache Spark and AWS services such as S3, Glue, Redshift, EMR, and Lambda. - Data Ingestion, Transformation, and Integration Solutions
Implement robust data ingestion, transformation, and integration solutions using Spark, Glue, and SQL to meet business requirements. - Cloud Storage and Compute Environment Management
Manage and optimize cloud storage and compute environments to ensure optimal performance and cost-effectiveness. - Automated Deployments and Collaborations
Ensure robust, automated deployments with Terraform and Jenkins and collaborate with cross-functional teams to deliver high-quality data products.
Requirements:
- Strong Programming Skills in Python and/or Scala
- Hands-on Experience with Apache Spark for Big Data Processing on AWS Cloud
- Proficiency with AWS Services such as S3, Glue, Redshift, EMR, Lambda
- Strong SQL Skills for Data Transformation and Analytics
- Experience in Infrastructure as Code (IaC) using Terraform
- Expertise in Setting up and Managing CI/CD Pipelines with Jenkins
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